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Remote Retrieval Augmented Generation Jobs in Wisconsin

Remote Retrieval Augmented Generation information

What is remote retrieval augmented generation?

Remote Retrieval Augmented Generation (RAG) is an advanced AI technique that combines large language models with external information sources. In a remote RAG setup, the model retrieves relevant data from remote databases or APIs during the generation process, enhancing its responses with up-to-date or domain-specific knowledge. This approach is widely used in applications that require accurate, context-aware answers, such as chatbots, search engines, and virtual assistants. By leveraging remote retrieval, RAG systems can access a broader range of information without needing to store all data locally.

What skills and qualifications are needed to thrive as a remote retrieval augmented generation engineer?

To thrive as a Remote Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and experience with retrieval systems such as Elasticsearch or FAISS are typically required. Problem-solving, effective communication, and adaptability are important soft skills for collaborating remotely and iterating on rapidly evolving AI solutions. These skills ensure the engineer can design, deploy, and optimize robust RAG systems that effectively combine retrieval and generation for high-quality AI outputs.

What are common challenges faced by professionals working in remote retrieval augmented generation roles, and how can they be addressed?

Professionals in Remote Retrieval Augmented Generation (RAG) roles often encounter challenges related to integrating diverse data sources, ensuring low latency in information retrieval, and maintaining the quality and relevance of augmented outputs. Coordinating effectively with distributed teams and adapting to rapidly evolving AI technologies are also common hurdles. To address these, staying current with best practices in data engineering, leveraging robust APIs, and participating in regular team check-ins can help ensure smooth collaboration and system performance.

What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?

AspectRemote Retrieval Augmented GenerationRemote Data Scientist
CredentialsAI/ML knowledge, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development, NLP projectsData analysis, model building
Industry UsageAI, NLP, machine learningTech, finance, healthcare
Search & ComparisonOften compared for AI roles involving language modelsCompared for data analysis roles

Remote Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, requiring expertise in AI, NLP, and programming. Remote Data Scientists analyze data, build models, and interpret results, often with statistical and domain knowledge. While both roles may work remotely and involve data handling, Retrieval Augmented Generation emphasizes AI model development, whereas Data Scientists focus on data analysis and insights.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Wisconsin?

The most popular types of Retrieval Augmented Generation jobs in Wisconsin are:

What are popular job titles related to Remote Retrieval Augmented Generation jobs in Wisconsin?

For Remote Retrieval Augmented Generation jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Remote Retrieval Augmented Generation jobs in Wisconsin look for?

The top searched job categories for Remote Retrieval Augmented Generation jobs in Wisconsin are:

What cities in Wisconsin are hiring for Remote Retrieval Augmented Generation jobs?

Cities in Wisconsin with the most Remote Retrieval Augmented Generation job openings:

Infographic showing various Remote Retrieval Augmented Generation job openings in Wisconsin as of July 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 100% Remote job distribution.

Senior Software Engineer - Generative AI

Accuity

Sheboygan, WI • On-site, Remote

$132K - $167K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Acuity is seeking a Senior Software Engineer to design, build, and maintain production-ready Generative AI capabilities within existing applications and platforms. This role emphasizes delivering secure, scalable, and user-focused AI solutions using managed services and APIs, collaborating closely with engineers, architects, and business partners to deliver reliable, enterprise-aligned functionality. You will also troubleshoot production issues, refine AI orchestration logic, contribute technical guidance on AI platforms and access approaches, and mentor team members to support best practices, learning, and technical excellence.
Acuity will include at least one in-person interview during the hiring process for all positions.
ESSENTIAL FUNCTIONS:
  • Partner with business analysts, engineers, and stakeholders to understand business challenges and design strong AI solutions, including LLM based and agentic systems.
  • Demonstrate professionalism and integrity while serving as a role model for engineers and promoting a culture of excellence and curiosity.
  • Lead planning and scoping of AI projects, providing input on timelines, model selection, infrastructure, and deliverables.
  • Develop and enhance AI applications including RAG pipelines, model evaluation frameworks, and agent orchestrations.
  • Write clean, scalable, and maintainable code that supports high performing AI systems and meets reliability expectations.
  • Demonstrate expert understanding of data ecosystems and how they support AI workflows including data vectorization, retrieval, and context routing.
  • Perform testing, debugging, and output validation to ensure AI responses are accurate, safe, and aligned with business logic.
  • Produce and maintain clear technical documentation including integration specs, system diagrams, integration guides, and operational runbooks.
  • Identify and correct inefficiencies in code, architecture, prompts, data flows, and model parameter tuning.
  • Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI principles.
  • Perform code reviews and provide recommendations for accuracy, performance, and adherence to AI safety guidelines.
  • Direct and manage AI projects from initiation through delivery including model selection, benchmarking, deployment, and monitoring.
  • Identify and develop solutions for highly complex AI integration challenges like prompt chaining, retrieval design, agent coordination, and enterprise scale integrations.
  • Understand the architecture of the applications and AI systems you contribute to and ensure new development aligns with strategic patterns.
  • Stay current with AI industry trends/tooling and best practices including breakthroughs in LLMs, agents, and model safety.
  • Participate in regular attendance and complete mandatory training programs as assigned by Acuity.
  • Perform other duties as assigned.

EDUCATION:
Bachelor's degree or equivalent combination of education and experience in software engineering, computer science, or related field.
EXPERIENCE:
A software engineer with 5 or more years of experience in software engineering, including experience integrating AI capabilities into production applications using external services or APIs.
OTHER QUALIFICATIONS:
  • Expertise across a wide range of tools and technologies, including.
    • Programming languages such as Java, Python, and JavaScript.
    • Relational and non-relational databases including Db2, PostgreSQL, SQL Server, and vector databases.
    • Familiarity with web UI frameworks such as Vue, React, or Angular.
    • Knowledge of software development workflows, CI/CD pipelines and version control tools.
    • AI and Gen AI technologies including LLMs, Retrieval-Augmented Generation (RAG), standardized model connection protocols, agent frameworks, and prompt engineering.
    • Experience with AI Orchestration frameworks, like LangChain, to connect LLMs to data.
    • Familiarity with AI Observability tools to monitor and debug AI responses.
    • Understanding API Management, including rate limiting, latency, and token cost optimization.
    • Experience with cloud platforms including Azure, IBM, GCP, or AWS for AI services.
  • Ability to analyze user requirements, define technical specifications, estimate work, and deliver high quality solutions.
  • Strong analytical thinking with the ability to break down complex problems and apply practical AI driven approaches.
  • Strong communication skills and ability to work with cross functional teams.
  • Excellence in documentation, testing practices, and operational reliability.
  • Ability to stay current with AI advancements, LLM research, and evolving best practices.
  • Passion for building reliable, safe, and impactful Generative AI systems.

*Acuity does not sponsor applicants for U.S. work authorization.*
This job is classified as exempt.
The salary range for this position is $132,800 - $167,800 annually. This salary range is an estimate and the actual salary will vary based on applicant's education, experience, knowledge, skills, and abilities.
For this role, Acuity offers a comprehensive benefits package, including a generous 401(k) contribution, medical, dental, vision, life and disability insurance, paid time off, an Employee Assistance Program, and more. A full description of benefits and eligibility will be provided to candidates during the hiring process.
We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.
Acuity will include at least one in-person interview during the hiring process for all positions.
If you have a disability and require reasonable accommodations to apply or during the interview process, including for in-person interviews, please contact our Talent Acquisition team at careers@acuity.com. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.